October 23, 2011

Transparent relational OLTP scale-out

There’s a perception that, if you want (relatively) worry-free database scale-out, you need a non-relational/NoSQL strategy. That perception is false. In the analytic case it’s completely ridiculous, as has been demonstrated by Teradata, Vertica, Netezza, and various other MPP (Massively Parallel Processing) analytic DBMS vendors. And now it’s false for short-request/OLTP (OnLine Transaction Processing) use cases as well.

My favorite relational OLTP scale-out choice these days is the SchoonerSQL/dbShards partnership. Schooner Information Technology (SchoonerSQL) and Code Futures (dbShards) are young, small companies, but I’m not too concerned about that, because the APIs they want you to write to are just MySQL’s. The main scenarios in which I can see them failing are ones in which they are competitively leapfrogged, either by other small competitors – e.g. ScaleBase, Akiban, TokuDB, or ScaleDB — or by Oracle/MySQL itself. While that could suck for my clients Schooner and Code Futures, it would still provide users relying on MySQL scale-out with one or more good product alternatives.

Relying on non-MySQL NewSQL startups, by way of contrast, would leave me somewhat more concerned. (However, if their code is open sourced. you have at least some vendor-failure protection.) And big-vendor scale-out offerings, such as Oracle RAC or DB2 pureScale, may be more complex to deploy and administer than the MySQL and NewSQL alternatives.

Comments

2 Responses to “Transparent relational OLTP scale-out”

  1. NoSQL notes | DBMS 2 : DataBase Management System Services on October 23rd, 2011 11:20 pm

    [...] reasons for using NoSQL of course are, in some order, dynamic schemas, scale-out, and open source. I find the scale-out argument somewhat bogus,* but the data model one is very real. Depending on whom you talk with, the most important point [...]

  2. CAP Theorem Part 6: Conclusion | The Elastic DBMS Blog on October 27th, 2011 11:09 am

    [...] Monash begins his post on “Transparent relational OLTP scale-out” (http://www.dbms2.com/2011/10/23/transparent-relational-oltp-scale-out/) by saying [...]

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